Renuka Kadali

602 citations
7 papers · 364 indexed · 1 hit paper · h-index 6
Topics
SARS-CoV-2 and COVID-19 Research (3 papers)Hemoglobinopathies and Related Disorders (2 papers)COVID-19 Clinical Research Studies (2 papers)

In The Last Decade

Renuka Kadali

7 papers receiving 357 citations

Hit Papers

Side effects of BNT162b2 mRNA COVID-19 vaccine: A randomi...2021202620222024202150100150

Peers

Renuka Kadali
Comparison fields: 5 of 63
  • Infectious Diseases 223
  • Health 120
  • Surgery 63
  • Genetics 45
  • Neurology 40
Replace Sarah Gleeson with:
Sarah Gleeson United Kingdom
Naveed Nazir Shah India
Michael Marcy United States
Ido Somekh Israel
Mélanie Closset Belgium
Bitten Aagaard Denmark
S Tosi Italy
S. Williams United States
Jiayi Zhang China
Genevieve P. G. Fung Hong Kong
Renuka Kadali relative to Sarah Gleeson United Kingdom Sarah Gleeson's profile →
Citations per field
00.5×4.5×
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Citations per year

Countries citing papers authored by Renuka Kadali

Since Specialization
Citations

This map shows the geographic impact of Renuka Kadali's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Renuka Kadali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Renuka Kadali more than expected).

Fields of papers citing papers by Renuka Kadali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Renuka Kadali. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Renuka Kadali. The network helps show where Renuka Kadali may publish in the future.

Co-authorship network of co-authors of Renuka Kadali

This figure shows the co-authorship network connecting the top 25 collaborators of Renuka Kadali. A scholar is included among the top collaborators of Renuka Kadali based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Renuka Kadali. Renuka Kadali is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
#WorkIndexed citations
1 13
2
Side effects of BNT162b2 mRNA COVID-19 vaccine: A randomized, cross-sectional study with detailed self-reported symptoms from healthcare workersbreakdown →
193
3 101
4 5
5 43
6 8
7 1

About Renuka Kadali

Renuka Kadali is a scholar working on Health, Modeling and Simulation and Genetics, having authored 7 papers that have together received 364 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (3 papers), Hemoglobinopathies and Related Disorders (2 papers) and COVID-19 Clinical Research Studies (2 papers). The work is most often cited by research in Health (120 citations), Infectious Diseases (223 citations) and Modeling and Simulation (22 citations). Renuka Kadali has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Srikrishna V Malayala, Jimmy T. Efird, Sunil Sharma, Darla Liles, Charles Knupp, Kristin Y. Shiue, Stuart F. Quan, Siva H. Yedlapati, Deepa Vasireddy and Sanjay Mehra. Their work appears in journals such as Gastroenterology, Journal of Medical Virology and International Journal of Infectious Diseases.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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